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Isothermal–isobaric ensemble - Wikipedia

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The isothermal–isobaric ensemble (constant temperature and constant pressure ensemble) is a statistical mechanical ensemble that maintains constant temperature {\displaystyle T\,} and constant pressure {\displaystyle P\,} applied. It is also called the {\displaystyle NpT}-ensemble, where the number of particles {\displaystyle N\,} is also kept as a constant. This ensemble plays an important role in chemistry as chemical reactions are usually carried out under constant pressure condition.[1] The NPT ensemble is also useful for measuring the equation of state of model systems whose virial expansion for pressure cannot be evaluated, or systems near first-order phase transitions.[2]

In the ensemble, the probability of a microstate {\displaystyle i} is {\displaystyle Z^{-1}e^{-\beta (E(i)+pV(i))}}, where {\displaystyle Z} is the partition function, {\displaystyle E(i)} is the internal energy of the system in microstate {\displaystyle i}, and {\displaystyle V(i)} is the volume of the system in microstate {\displaystyle i}.

The probability of a macrostate is {\displaystyle Z^{-1}e^{-\beta (E+pV-TS)}=Z^{-1}e^{-\beta G}}, where {\displaystyle G} is the Gibbs free energy.

Derivation of key properties

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The partition function for the {\displaystyle NpT}-ensemble can be derived from statistical mechanics by beginning with a system of {\displaystyle N} identical atoms described by a Hamiltonian of the form {\displaystyle \mathbf {p} ^{2}/2m+U(\mathbf {r} ^{n})} and contained within a box of volume {\displaystyle V=L^{3}}. This system is described by the partition function of the canonical ensemble in 3 dimensions:

{\displaystyle Z^{sys}(N,V,T)={\frac {1}{\Lambda ^{3N}N!}}\int _{0}^{L}...\int _{0}^{L}d\mathbf {r} ^{N}\exp(-\beta U(\mathbf {r} ^{N}))},

where {\displaystyle \Lambda ={\sqrt {h^{2}\beta /(2\pi m)}}}, the thermal de Broglie wavelength ({\displaystyle \beta =1/k_{B}T\,} and {\displaystyle k_{B}\,} is the Boltzmann constant), and the factor {\displaystyle 1/N!} (which accounts for indistinguishability of particles) both ensure normalization of entropy in the quasi-classical limit.[2] It is convenient to adopt a new set of coordinates defined by {\displaystyle L\mathbf {s} _{i}=\mathbf {r} _{i}} such that the partition function becomes

{\displaystyle Z^{sys}(N,V,T)={\frac {V^{N}}{\Lambda ^{3N}N!}}\int _{0}^{1}...\int _{0}^{1}d\mathbf {s} ^{N}\exp(-\beta U(\mathbf {s} ^{N}))}.

If this system is then brought into contact with a bath of volume {\displaystyle V_{0}} at constant temperature and pressure containing an ideal gas with total particle number {\displaystyle M} such that {\displaystyle M-N\gg N}, the partition function of the whole system is simply the product of the partition functions of the subsystems:

{\displaystyle Z^{sys+bath}(N,V,T)={\frac {V^{N}(V_{0}-V)^{M-N}}{\Lambda ^{3M}N!(M-N)!}}\int d\mathbf {s} ^{M-N}\int d\mathbf {s} ^{N}\exp(-\beta U(\mathbf {s} ^{N}))}.
The system (volume {\displaystyle V}) is immersed in a much larger bath of constant temperature, and closed off such that particle number remains fixed. The system is separated from the bath by a piston that is free to move, such that its volume can change.

The integral over the {\displaystyle \mathbf {s} ^{M-N}} coordinates is simply {\displaystyle 1}. In the limit that {\displaystyle V_{0}\rightarrow \infty }, {\displaystyle M\rightarrow \infty } while {\displaystyle (M-N)/V_{0}=\rho } stays constant, a change in volume of the system under study will not change the pressure {\displaystyle p} of the whole system. Taking {\displaystyle V/V_{0}\rightarrow 0} allows for the approximation {\displaystyle (V_{0}-V)^{M-N}=V_{0}^{M-N}(1-V/V_{0})^{M-N}\approx V_{0}^{M-N}\exp(-(M-N)V/V_{0})}. For an ideal gas, {\displaystyle (M-N)/V_{0}=\rho =\beta P} gives a relationship between density and pressure. Substituting this into the above expression for the partition function, multiplying by a factor {\displaystyle \beta P} (see below for justification for this step), and integrating over the volume V then gives

{\displaystyle \Delta ^{sys+bath}(N,P,T)={\frac {\beta PV_{0}^{M-N}}{\Lambda ^{3M}N!(M-N)!}}\int dVV^{N}\exp({-\beta PV})\int d\mathbf {s} ^{N}\exp(-\beta U(\mathbf {s} ))}.

The partition function for the bath is simply {\displaystyle \Delta ^{bath}=V_{0}^{M-N}/[(M-N)!\Lambda ^{3(M-N)}}. Separating this term out of the overall expression gives the partition function for the {\displaystyle NpT}-ensemble:

{\displaystyle \Delta ^{sys}(N,P,T)={\frac {\beta P}{\Lambda ^{3N}N!}}\int dVV^{N}\exp(-\beta PV)\int d\mathbf {s} ^{N}\exp(-\beta U(\mathbf {s} ))}.

Using the above definition of {\displaystyle Z^{sys}(N,V,T)}, the partition function can be rewritten as

{\displaystyle \Delta ^{sys}(N,P,T)=\beta P\int dV\exp(-\beta PV)Z^{sys}(N,V,T)},

which can be written more generally as a weighted sum over the partition function for the canonical ensemble

{\displaystyle \Delta (N,P,T)=\int Z(N,V,T)\exp(-\beta PV)CdV.\,\;}

The quantity {\displaystyle C} is simply some constant with units of inverse volume, which is necessary to make the integral dimensionless. In this case, {\displaystyle C=\beta P}, but in general it can take on multiple values. The ambiguity in its choice stems from the fact that volume is not a quantity that can be counted (unlike e.g. the number of particles), and so there is no “natural metric” for the final volume integration performed in the above derivation.[2] This problem has been addressed in multiple ways by various authors,[3][4] leading to values for C with the same units of inverse volume. The differences vanish (i.e. the choice of {\displaystyle C} becomes arbitrary) in the thermodynamic limit, where the number of particles goes to infinity.[5]

The {\displaystyle NpT}-ensemble can also be viewed as a special case of the Gibbs canonical ensemble, in which the macrostates of the system are defined according to external temperature {\displaystyle T} and external forces acting on the system {\displaystyle \mathbf {J} }. Consider such a system containing {\displaystyle N} particles. The Hamiltonian of the system is then given by {\displaystyle {\mathcal {H}}-\mathbf {J} \cdot \mathbf {x} } where {\displaystyle {\mathcal {H}}} is the system's Hamiltonian in the absence of external forces and {\displaystyle \mathbf {x} } are the conjugate variables of {\displaystyle \mathbf {J} }. The microstates {\displaystyle \mu } of the system then occur with probability defined by [6]

{\displaystyle p(\mu ,\mathbf {x} )=\exp[-\beta {\mathcal {H}}(\mu )+\beta \mathbf {J} \cdot \mathbf {x} ]/{\mathcal {Z}}}

where the normalization factor {\displaystyle {\mathcal {Z}}} is defined by

{\displaystyle {\mathcal {Z}}(N,\mathbf {J} ,T)=\sum _{\mu ,\mathbf {x} }\exp[\beta \mathbf {J} \cdot \mathbf {x} -\beta {\mathcal {H}}(\mu )]}.

This distribution is called generalized Boltzmann distribution by some authors.[7]

The {\displaystyle NpT}-ensemble can be found by taking {\displaystyle \mathbf {J} =-P} and {\displaystyle \mathbf {x} =V}. Then the normalization factor becomes

{\displaystyle {\mathcal {Z}}(N,\mathbf {J} ,T)=\sum _{\mu ,\{\mathbf {r} _{i}\}\in V}\exp[-\beta PV-\beta (\mathbf {p} ^{2}/2m+U(\mathbf {r} ^{N}))]},

where the Hamiltonian has been written in terms of the particle momenta {\displaystyle \mathbf {p} _{i}} and positions {\displaystyle \mathbf {r} _{i}}. This sum can be taken to an integral over both {\displaystyle V} and the microstates {\displaystyle \mu }. The measure for the latter integral is the standard measure of phase space for identical particles: {\displaystyle {\textrm {d}}\Gamma _{N}={\frac {1}{h^{3}N!}}\prod _{i=1}^{N}d^{3}\mathbf {p} _{i}d^{3}\mathbf {r} _{i}}.[6] The integral over {\displaystyle \exp(-\beta \mathbf {p} ^{2}/2m)} term is a Gaussian integral, and can be evaluated explicitly as

{\displaystyle \int \prod _{i=1}^{N}{\frac {d^{3}\mathbf {p} _{i}}{h^{3}}}\exp {\bigg [}-\beta \sum _{i=1}^{N}{\frac {p_{i}^{2}}{2m}}{\bigg ]}={\frac {1}{\Lambda ^{3N}}}} .

Inserting this result into {\displaystyle {\mathcal {Z}}(N,P,T)} gives a familiar expression:

{\displaystyle {\mathcal {Z}}(N,P,T)={\frac {1}{\Lambda ^{3N}N!}}\int dV\exp(-\beta PV)\int d\mathbf {r} ^{N}\exp(-\beta U(\mathbf {r} ))=\int dV\exp(-\beta PV)Z(N,V,T)}.[6]

This is almost the partition function for the {\displaystyle NpT}-ensemble, but it has units of volume, an unavoidable consequence of taking the above sum over volumes into an integral. Restoring the constant {\displaystyle C} yields the proper result for {\displaystyle \Delta (N,P,T)}.

From the preceding analysis it is clear that the characteristic state function of this ensemble is the Gibbs free energy,

{\displaystyle G(N,P,T)=-k_{B}T\ln \Delta (N,P,T)\;\,}

This thermodynamic potential is related to the Helmholtz free energy (logarithm of the canonical partition function), {\displaystyle F\,}, in the following way:[1]

{\displaystyle G=F+PV.\;\,}
  1. ^ a b Dill, Ken A.; Bromberg, Sarina; Stigter, Dirk (2003). Molecular Driving Forces. New York: Garland Science.
  2. ^ a b c d e Frenkel, Daan.; Smit, Berend (2002). Understanding Molecular Simluation. New York: Academic Press.
  3. ^ Attard, Phil (1995). "On the density of volume states in the isobaric ensemble". Journal of Chemical Physics. 103 (24): 9884–9885. Bibcode:1995JChPh.103.9884A. doi:10.1063/1.469956.
  4. ^ Koper, Ger J. M.; Reiss, Howard (1996). "Length Scale for the Constant Pressure Ensemble: Application to Small Systems and Relation to Einstein Fluctuation Theory". Journal of Physical Chemistry. 100 (1): 422–432. doi:10.1021/jp951819f.
  5. ^ Hill, Terrence (1987). Statistical Mechanics: Principles and Selected Applications. New York: Dover.
  6. ^ a b c Kardar, Mehran (2007). Statistical Physics of Particles. New York: Cambridge University Press.
  7. ^ Gao, Xiang; Gallicchio, Emilio; Roitberg, Adrian (2019). "The generalized Boltzmann distribution is the only distribution in which the Gibbs-Shannon entropy equals the thermodynamic entropy". The Journal of Chemical Physics. 151 (3): 034113. arXiv:1903.02121. Bibcode:2019JChPh.151c4113G. doi:10.1063/1.5111333. PMID 31325924. S2CID 118981017.
  8. ^ McDonald, I. R. (1972). "{\displaystyle NpT}-ensemble Monte Carlo calculations for binary liquid mixtures". Molecular Physics. 23 (1): 41–58. Bibcode:1972MolPh..23...41M. doi:10.1080/00268977200100031.
  9. ^ Wood, W. W. (1970). "{\displaystyle NpT}-Ensemble Monte Carlo Calculations for the Hard Disk Fluid". Journal of Chemical Physics. 52 (2): 729–741. Bibcode:1970JChPh..52..729W. doi:10.1063/1.1673047.
  10. ^ Schmidt, Jochen; VandeVondele, Joost; Kuo, I. F. William; Sebastiani, Daniel; Siepmann, J. Ilja; Hutter, Jürg; Mundy, Christopher J. (2009). "Isobaric-Isothermal Molecular Dynamics Simulations Utilizing Density Functional Theory:An Assessment of the Structure and Density of Water at Near-Ambient Conditions". Journal of Physical Chemistry B. 113 (35): 11959–11964. doi:10.1021/jp901990u. OSTI 980890. PMID 19663399.